Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/79672
Title: Co-planning of demand response and distributed generators in an active distribution network
Authors: Yu, Y 
Wen, XS
Zhao, J 
Xu, Z 
Li, JY 
Keywords: Demand response
Solar energy
Wind power
Uncertainties
Distributed generator
Active distribution network
Issue Date: 2018
Publisher: Molecular Diversity Preservation International (MDPI)
Source: Energies, Feb. 2018, v. 11, no. 2, 354 How to cite?
Journal: Energies 
Abstract: The integration of renewables is fast-growing, in light of smart grid technology development. As a result, the uncertain nature of renewables and load demand poses significant technical challenges to distribution network (DN) daily operation. To alleviate such issues, price-sensitive demand response and distributed generators can be coordinated to accommodate the renewable energy. However, the investment cost for demand response facilities, i.e., load control switch and advanced metering infrastructure, cannot be ignored, especially when the responsive demand is large. In this paper, an optimal coordinated investment for distributed generator and demand response facilities is proposed, based on a linearized, price-elastic demand response model. To hedge against the uncertainties of renewables and load demand, a two-stage robust investment scheme is proposed, where the investment decisions are optimized in the first stage, and the demand response participation with the coordination of distributed generators is adjusted in the second stage. Simulations on the modified IEEE 33-node and 123-node DN demonstrate the effectiveness of the proposed model.
URI: http://hdl.handle.net/10397/79672
EISSN: 1996-1073
DOI: 10.3390/en11020354
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

4
Citations as of Feb 15, 2019

WEB OF SCIENCETM
Citations

4
Citations as of Feb 16, 2019

Page view(s)

1
Citations as of Feb 11, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.